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作 者:Peilin Sun Jun Tang Shuang Wan
机构地区:[1]Department of Electronic Engineering,Tsinghua University
出 处:《Journal of Systems Engineering and Electronics》2014年第4期566-572,共7页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China(61171120);the Key National Ministry Foundation of China(9140A07020212JW0101);the Foundation of Tsinghua University(20101081772)
摘 要:The optimal estimation performance of target parameters is studied. First, the general form of Cramer-Rao bound (CRB) for joint estimation of target location and velocity is derived for coherent multiple input multiple output (MIMO) radars. To gain some insight into the behavior of the CRB, the CRB with a set of given orthogonal waveforms is studied as a specific case. Second, a maximum likelihood (ML) estimation algorithm is proposed. The mean square error (MSE) of the ML estimation of target location and velocity is obtained by Monte Carlo simulation and it approaches CRB in the high signal-to-noise ratio (SNR) region.The optimal estimation performance of target parameters is studied. First, the general form of Cramer-Rao bound (CRB) for joint estimation of target location and velocity is derived for coherent multiple input multiple output (MIMO) radars. To gain some insight into the behavior of the CRB, the CRB with a set of given orthogonal waveforms is studied as a specific case. Second, a maximum likelihood (ML) estimation algorithm is proposed. The mean square error (MSE) of the ML estimation of target location and velocity is obtained by Monte Carlo simulation and it approaches CRB in the high signal-to-noise ratio (SNR) region.
关 键 词:Cramer-Rao bound (CRB) joint estimation coherentmultiple input multiple output (MIMO) radar.
分 类 号:TN958[电子电信—信号与信息处理]
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